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6.2 Diagonalizing a Matrix; 6.3 Systems of Differential Equations; 6.4 Symmetric Matrices; 6.5 Positive Definite Matrices; 7 The Singular Value Decomposition (SVD) 7.1 Image Processing by Linear Algebra; 7.2 Bases and Matrices in the SVD; 7.3 Principal Component Analysis (PCA by the SVD) 7.4 The Geometry of the SVD Singular Value Decomposition Applied To Digital Image Processing Since the data of digital image is in the matrix form, the DIP can utilize a number

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